Triple

T20104894
Position Surface form Disambiguated ID Type / Status
Subject Mughal Subah of Orissa E490141 entity
Predicate hadPort P2745 FINISHED
Object Balasore NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Balasore | Statement: [Mughal Subah of Orissa, hadPort, Balasore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Balasore
Context triple: [Mughal Subah of Orissa, hadPort, Balasore]
  • A. Balasore chosen
    Balasore is a coastal city in the Indian state of Odisha, historically significant as a trading and maritime center during the colonial era.
  • B. Basirhat
    Basirhat is a town in the North 24 Parganas district of West Bengal, India, known as a regional administrative and commercial center near the India–Bangladesh border.
  • C. Chandipur
    Chandipur is a coastal town in Odisha, India, known for its unique beach where the sea recedes dramatically during low tide, exposing vast stretches of sand.
  • D. Barpeta
    Barpeta is a town in the Indian state of Assam known for its historical Barpeta Satra and cultural significance in the Vaishnavite tradition.
  • E. Baripada
    Baripada is a prominent town and district headquarters in the Mayurbhanj district of Odisha, India, known for its cultural heritage and proximity to the Simlipal National Park.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69da62636cc08190982cc71733a17b8d completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e666daf73c819089f02ca6faa2c283 completed April 20, 2026, 5:48 p.m.
Created at: April 11, 2026, 11:28 p.m.